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DDHFm (version 1.1.3)

Variance Stabilization by Data-Driven Haar-Fisz (for Microarrays)

Description

Contains the normalizing and variance stabilizing Data-Driven Haar-Fisz algorithm. Also contains related algorithms for simulating from certain microarray gene intensity models and evaluation of certain transformations. Contains cDNA and shipping credit flow data.

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Version

Install

install.packages('DDHFm')

Monthly Downloads

213

Version

1.1.3

License

GPL-2

Maintainer

Guy Nason

Last Published

November 25th, 2022

Functions in DDHFm (1.1.3)

Tabulates variance, skewness and kurtosis coefficients from the output of dhhrcomp

Gene intensities simulator

Performs Isotone regression using "pool-adjacent-violators" algorithm

Gene means simulator

Find index where two vectors are closest

function.from.vector

Function applied for the computation of the Data-Driven Haar-Fisz transform

Gene intensities simulator

Gene intensities simulator and DDHFm tester

Inverse Data-Driven Haar-Fisz transformation

Data-Driven Haar-Fisz transformation

Simulated genes, apply DDHFm then compute and return variance, skewness and kurtosis values

Data-driven Haar-Fisz for microarrays

Kurtosis Coefficient estimator

Example Shipping credit flow data

Samples from the cDNA data vector

Example cDNA data

Moment estimator

Skewness coefficient estimator